Senior Scientific Software Engineer – Magnet Protection Systems
Devens, MA
Commonwealth Fusion Systems
The world's largest and leading commercial fusion energy company
About Commonwealth Fusion Systems:
Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy.
Combining decades of research, top talent and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future.
We’re in the best position to make it happen. Since 2018, we’ve raised over $2 billion in capital – more than any other fusion energy company in the U.S.
Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.
If that’s you and this role fits, we want to hear from you.
Join the power movement as a Senior Scientific Software Engineer
The Scientific Software team at CFS develops software that helps us understand and build superconducting magnets and tokamaks. The primary project for this role will be developing software for a fiber optic quench detection system. A quench is an event where a superconducting magnet goes into thermal runaway, and SPARC will incorporate a system using fiber optic cables to detect and mitigate these events. We seek an experienced software engineer (Senior to Principal level) to help develop an algorithm for detecting quenches based on the data received by the fiber optic system. One of the tools used to develop the algorithm is a fiber model written in Python that simulates the expected signals during a quench and nominal operations. The engineer will also help increase the accuracy and performance of the simulation. The development of the fiber model and the quench detection algorithm are informed by experiments, ranging from bench top tests to full sized magnets. The engineer will be responsible for analyzing experimental data from these tests to validate the fiber model and test and develop the quench detection algorithm.
We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law.
Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy.
Combining decades of research, top talent and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future.
We’re in the best position to make it happen. Since 2018, we’ve raised over $2 billion in capital – more than any other fusion energy company in the U.S.
Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.
If that’s you and this role fits, we want to hear from you.
Join the power movement as a Senior Scientific Software Engineer
The Scientific Software team at CFS develops software that helps us understand and build superconducting magnets and tokamaks. The primary project for this role will be developing software for a fiber optic quench detection system. A quench is an event where a superconducting magnet goes into thermal runaway, and SPARC will incorporate a system using fiber optic cables to detect and mitigate these events. We seek an experienced software engineer (Senior to Principal level) to help develop an algorithm for detecting quenches based on the data received by the fiber optic system. One of the tools used to develop the algorithm is a fiber model written in Python that simulates the expected signals during a quench and nominal operations. The engineer will also help increase the accuracy and performance of the simulation. The development of the fiber model and the quench detection algorithm are informed by experiments, ranging from bench top tests to full sized magnets. The engineer will be responsible for analyzing experimental data from these tests to validate the fiber model and test and develop the quench detection algorithm.
What you'll do:
- Rapidly learn and improve complex physics-based models and simulations from first principles optics and physics
- Perform analysis on a variety of experimental 2D and time-series spectral data, utilizing image and signal processing techniques, to validate models and enhance algorithm performance (e.g., quench detection)
- Design and develop components of a robust algorithm for real-time quench detection of the magnet and other critical applications
- Collaborate with cross-functional teams, including the physics, production, and I&C team, to identify and execute on key data and algorithm needs
- Communicate technical results and project progress to stakeholders, ensuring clarity even on complex topics for those with varied technical expertise
- Develop, implement, and maintain CI/CD pipelines to streamline development processes, ensure code reliability, and reduce operational overhead
- Contribute to and shape the growth of an evolving product with low technical readiness levels, applying creative problem-solving and rapid iteration to meet high-stakes deliverables
What we’re looking for:
- Bachelor’s degree in a technical field preferred
- Programming language: Python, including type hinting
- Able to independently set up a new software project, including CI/CD processes, linting, unit testing, and software documentation
- Basic understanding of numerical methods, linear algebra, and differential equations
- Able to understand the basics of the project’s physics aspects (e.g., undergrad-level electromagnetics and optics))
- Data analysis using pandas, numpy, matplotlib, or other similar Python packages
- Experience with object oriented programming in Python
- Experience with at least one of the following: signal processing, machine learning, and data analytic tools
Bonus points for:
- Programming languages: C++, Rust, or experience with low-level performance and memory management
- Concurrency and parallelization
- Demonstrated experience building a simulation framework that uses physics-based modeling
Essential Requirements:
- Perform activities such as typing or sitting for extended periods of time
- Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics
- Willingness to travel or work required nights/weekends/on-call occasionally
- #LI-Remote
We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: CI/CD Data analysis Excel Industrial Linear algebra Machine Learning Matplotlib NumPy Pandas Physics Pipelines Python Research Rust Testing
Perks/benefits: Career development Startup environment Team events
Regions:
Remote/Anywhere
North America
Country:
United States
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